A Bayesian C-optimal sensor placement workflow with low-rank acceleration is applied to contaminant source identification and sensor steering in complex geometries.
Goal-oriented optimal approximations of Bayesian linear inverse problems
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Goal-oriented optimal sensor placement for PDE-constrained inverse problems in crisis management
A Bayesian C-optimal sensor placement workflow with low-rank acceleration is applied to contaminant source identification and sensor steering in complex geometries.